Research On Optimal Control Of Load Sharing Of Compressor Units In Long Gas Transmission Pipeline

As a relatively clean primary energy source,natural gas is important for China to achieve the goal of carbon peaking and carbon neutrality.Usually,natural gas is mainly transported by long-distance pipelines,and the energy required for transportation is mainly provided by compressor units in the gas compressor stations.With the continuous development of longdistance natural gas pipelines,the required pipeline energy consumption has been increasing,and how to reduce the energy consumption of pipeline transportation has become an urgent problem to be solved.Therefore,the objective of this paper is to optimize the load sharing of the parallel compressor units using an improved slap swarm algorithm to reduce the energy consumption of the unit,the main work is as follows.In this paper,a load sharing optimization model is established with the minimum total energy consumption of the parallel electric drive compressor unit as the objective function,considering the constraints of the compressor station field and the unit constraints.To address this problem,an improved slap swarm algorithm based on good point set,adaptive population partitioning and adaptive inertia weights is proposed in this paper.In this algorithm,these three improvement strategies are used to enhance the global search capability of the algorithm and help the algorithm to jump out of the local optimal solution,thus improving the optimization effect.The effectiveness of the improved strategy is verified by conducting simulation experiments on eight standard benchmark functions.The load sharing optimization problem contains both binary and continuous variables,and the GASSA algorithm is a continuous variable-based optimization algorithm that cannot directly deal with binary variables.To address this problem,a treatment method is proposed in this paper.Specifically,semi-continuous variables are used to represent the switching state of the compressor unit instead of binary variables,thus simplifying the search space and reducing the optimization difficulty.Subsequently,the repair method and the dynamic penalty function method are introduced to deal with the domain hole constraint and the equation constraint,respectively,and are combined with the improved slap swarm algorithm to establish a load distribution optimization process based on the GASSA algorithm.In order to verify the effectiveness of the algorithm,a virtual gas compressor simulation case is constructed and the GASSA algorithm and four other different algorithms are applied to optimize the load distribution of this gas compressor station.The experimental results show that the GASSA algorithm can achieve lower and more stable energy consumption optimization results compared with other algorithms.